Transcript Interagency Working Group to Integrate mHealth

mHealth Working Group
October 19, 2011
Principles of the Working Group
• Frame mHealth within global health strategies
• Apply public health standards and practices
• Promote appropriate, evidence-based, scalable
and interoperable approaches in resource-poor
settings
• Build internal capacity in mHealth
Agenda: Innovative M&E of mHealth
• Background on mHealth M&E
• Mining the Data Exhaust: Extracting Behavior Change Evidence
from Text Messages for Male Circumcision in Tanzania, by James
BonTempo, Learning Technology Advisor, Jhpiego
• Embedding evaluation into mHealth activities: Challenges and
Opportunities, by Dr. Kelly L'Engle, Scientist, Behavioral and Social
Sciences, FHI 360
• Improved Response to Disasters and Outbreaks by Tracking
Population Movements with Mobile Phone Network Data: A PostEarthquake Geospatial Study in Haiti, by Dr. Richard Garfield,
Schools of Nursing and Public Health, Columbia University
NIH workshop on mHealth Evidence
“mHealth tools and interventions must be backed
up by rigorous scientific development, evaluation,
and evidence generation to enhance meaningful
innovation and best practices, and to validate
tools and methods for health professionals,
consumers, payers, governments, and industry.”
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http://obssr.od.nih.gov/scientific_areas/methodology/mhealth/mhealth-workshop.aspx
http://rwjfblogs.typepad.com/pioneer/2011/08/moving-mhealth-forward-through-evidence.html
Innovative Data Collection/M&E
• Usage
▫ Human dynamics revealed through Web analytics.
(Goncalves, 2008)
• Content ("infodemiology")
▫ Pandemics in the age of Twitter: content analysis of
Tweets during the 2009 H1N1 outbreak. (Chew, 2010)
• Location
▫ A hybrid mobile-based patient location tracking
system for personal healthcare applications. (Chew,
2006)
Privacy and Security
• Fair Information Practice Principles
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Notice/Awareness
Choice/Consent
Access/Participation
Integrity/Security
Enforcement/Redress
M&E Challenges for eHealth
• eHealth research and evaluation: challenges and
opportunities. (Eng, 2002)
• Methodological considerations in evaluating
eHealth interventions. (Nguyen, 2007)
• Why Do Evaluations of eHealth Programs Fail?
An Alternative Set of Guiding Principles.
(Greenhalgh, 2010)
Presenters
• Mining the Data Exhaust: Extracting Behavior Change Evidence
from Text Messages for Male Circumcision in Tanzania, by James
BonTempo, Learning Technology Advisor, Jhpiego
• Embedding evaluation into mHealth activities: Challenges and
Opportunities, by Dr. Kelly L'Engle, Scientist, Behavioral and Social
Sciences, FHI 360
• Improved Response to Disasters and Outbreaks by Tracking
Population Movements with Mobile Phone Network Data: A PostEarthquake Geospatial Study in Haiti, by Dr. Richard Garfield,
Schools of Nursing and Public Health, Columbia University
mHealth Working Group
November Meeting to be held at
Pan American Health Organization (PAHO)